基于大数据支撑的干线信号协调控制综合评估

城市主干线拥堵问题日益突出，交通运输现状急需改善。干线信号协调控制是解决这一问题的有效方法，然而传统的控制方案集中于效率或安全的单一考量，无法实现系统的综合优化。基于太原市主干线的道路实测数据，提出了基于GPS数据检测的车辆行驶里程(vehicle miles traveled, VMT)估计方法，利用VISSIM软件和间接安全评价模型(surrogate safety assessment model, SSAM)搭建仿真体系，以延误和排队长度反应效率变化，以交通冲突表征安全特征，实现了效率和安全的综合评估。结果表明，与信控现状相比，单点控制方案和协调控制方案的综合优化程度分别提高了18.9%和26.1%,验证了协调信号控制方案的有效性。提出的优化方案提高了交叉口的服务水平和安全，为城市主干线的运营、规划和管理提供了借鉴和参考。

The comprehensive assessment of signal-coordinated arterials based on big data

The congestion problem is prominent of arterials, where the transportation status calls for an improvement. Signal coordination is an effective way to alleviate the operation problem on the arterials. However, previous studies focused mainly on the single efficiency optimization or safety evaluation. Based on the data of arterials from Taiyuan, an estimation method of Vehicle Miles Traveled (VMT) from the detection of GPS data was proposed in this paper. Meanwhile, the software of VISSIM and Surrogate Safety Assessment Model (SSAM) were presented to simulate the traffic status of arterials. In order to assess the performance of comprehensive optimization for signal-coordinated arterials, in this paper, the delay and queue length of vehicles reflected the traffic efficiency variation and the traffic conflicts reflect traffic safety characteristics. Results indicate that compared with the previous status, the comprehensive optimizing degree of the isolated and signal-coordinated control model is improved by 18.9% and 26.1%, respectively, which verifies the effectiveness of signal coordinated. The comprehensive evaluation of the paper serves to provide countermeasures for the operation, planning and management of arterials under coordinated signalization.